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Skip to Search Results- 29Greiner, Russell (Computing Science)
- 14Szafron, Duane (Computing Science)
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- 9Machine learning
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- 2Artificial Intelligence
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Fall 2013
Many learning situations involve learning the conditional distribution $p(y|x)$ when the training data is drawn from the training distribution $p{tr}(x)$, even though it will later be used to predict for instances drawn from a different test distribution $p{te}(x)$. Most current approaches focus...
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Spring 2017
Co-embedding is the process of mapping elements from multiple sets into a common latent space, which can be exploited to infer element-wise associations by considering the geometric proximity of their embeddings. Such an approach underlies the state of the art for link prediction, relation...
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Spring 2017
Survival prediction is becoming a crucial part of treatment planning for most terminally ill patients. Many believe that genomic data will enable us to better estimate survival of these patients, which will lead to better, more personalized treatment options and patient care. As standard...
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Fall 2015
Researchers conduct association studies to discover biomarkers in order to gain new biological insight on complex diseases and phenotypes. Although most researchers have intuitions about what defines a biomarker and how to assess the results of an association study, there is neither a formal...
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The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data
DownloadSpring 2017
One of the main challenges for the use of machine learning techniques in neuroimaging data is the small n, large p problem. Datasets usually contain only a few hundreds of instances (n), each of which is described using hundreds of thousands of features (p). In this dissertation, we explore the...
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Spring 2018
Patients with Type I Diabetes (T1D) must take insulin injections to prevent the serious long term effects of hyperglycemia â high blood glucose (BG). These patients must also be careful not to inject too much insulin because this could induce hypoglycemia (low BG), which can be fatal. Patients...
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Tiered Behaviour Architecture for Virtual Characters using Cyclic Scheduling and Behaviour Capture
DownloadSpring 2015
A story-based video game contains many characters. A few are controlled by the player and the majority are virtual characters, controlled by artificial intelligence. In recent years, video game artificial intelligence has developed slower than other aspects of video games, such as graphics,...
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Fall 2009
Character behaviours in computer role-playing games have a significant impact on game-play, but are often difficult for story authors to implement and modify. Many computer games use custom scripts to control the behaviours of non-player characters (NPCs). Therefore, a story author must write...
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Fall 2009
Games have been used to evaluate and advance techniques in the field of Artificial Intelligence since before computers were invented. Many of these games have been deterministic perfect information games (e.g. Chess and Checkers). A deterministic game has no chance element and in a perfect...
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Fall 2009
A high level of programming knowledge is needed in order to script a video game. This prevents video game design from being accessible to non-programmers. ScriptEase is a tool that was designed to solve this problem. While ScriptEase has been shown to be accessible to 10th grade English students...